WEBVTT - Smart Talks with IBM: Unlocking Our Quantum Future

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<v Speaker 1>Hey everyone, it's Robert and Joe here. Today we've got

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<v Speaker 1>something a little bit different to share with you. It's

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<v Speaker 1>a new season of the Smart Talks with IBM podcast series.

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<v Speaker 2>This season on Smart Talks with IBM, Malcolm Gladwell is back,

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<v Speaker 2>and this time he's taking the show on the road.

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<v Speaker 2>Malcolm is stepping outside the studio to explore how IBM

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<v Speaker 2>clients are using artificial intelligence to solve real world challenges

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<v Speaker 2>and transform the way they do business.

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<v Speaker 1>From accelerating scientific breakthroughs to reimagining education. It's a fresh

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<v Speaker 1>look at innovation in action, where big ideas meet cutting

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<v Speaker 1>edge solutions.

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<v Speaker 2>You'll hear from industry leaders, creative thinkers, and of course

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<v Speaker 2>Malcolm Gladwell himself as he guides you through each story.

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<v Speaker 1>New episodes of Smart Talks with IBM drop every month

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<v Speaker 1>on the iHeartRadio app, Apple Podcasts, or wherever you get

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<v Speaker 1>your podcasts. Learn more at IBM dot com slash smart Talks.

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<v Speaker 1>This is a paid advertisement from IBM.

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<v Speaker 3>Hello, this is Malcolm Gladwell and you're listening to Smart

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<v Speaker 3>Talks with IBM. Every year, Tech Week brings thousands of

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<v Speaker 3>people together to network and learn about what's emerging across

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<v Speaker 3>the technology ecosystem, and at this year's conference in San Francisco,

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<v Speaker 3>I had an amazing opportunity to sit down in front

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<v Speaker 3>of a live audience with Jay Gambetta. Jay has been

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<v Speaker 3>with IBM for years and was recently promoted to Director

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<v Speaker 3>of Research. In this job, Jay has an important mission

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<v Speaker 3>helping the company build the future of computing. In the

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<v Speaker 3>last episode of smart Talks, I began to learn about

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<v Speaker 3>quantum computing from IBM Chairman and CEO Arvind Krishna. But

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<v Speaker 3>this conversation I had with Jay went even deeper and

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<v Speaker 3>convinced me that the development of quantum isn't just a fun,

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<v Speaker 3>exciting new paradigm of computing, it may be one of

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<v Speaker 3>the most important scientific achievements of my lifetime. Jay, Good morning, morning,

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<v Speaker 3>Welcome to Smart Talks with IBM. Thank you special live

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<v Speaker 3>recording here for tech Week and congratulations. How long have

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<v Speaker 3>you been Head of Research at IBM?

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<v Speaker 4>Since October one? It's October tenth today, since nine days,

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<v Speaker 4>nine days.

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<v Speaker 3>Can you just talk a little about the position. This

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<v Speaker 3>is one of the most important positions in research in

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<v Speaker 3>the world.

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<v Speaker 4>IBM research has been around for eighty years and it's

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<v Speaker 4>done some tremendous technology, a lot of inventions and fundamentals

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<v Speaker 4>for semiconductors, algorithms, AI. Yeah, I think if we look

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<v Speaker 4>back to where a lot of the innovation and the

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<v Speaker 4>technology of the world comes from, I think you can

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<v Speaker 4>find Ibram's footprints on it, and you can find IBM research.

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<v Speaker 4>So yeah, I'm very excited for the opportunity, but I'm

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<v Speaker 4>also aware that there's big shoes to fill, and I'm

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<v Speaker 4>looking forward to how we take IBM research forward. Obviously,

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<v Speaker 4>I'm going to be bringing a lot of the quantum side,

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<v Speaker 4>which we're going to talk about later. Beyond quantum, there's

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<v Speaker 4>important work that needs to happen in AI hybrid cloud,

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<v Speaker 4>and I think we're going to also enter into this

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<v Speaker 4>new period of mathematics where we get to use quantum

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<v Speaker 4>machines and also AI machines. And there's some really good

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<v Speaker 4>hard mathematical questions to answer.

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<v Speaker 3>How many people do you have working for you?

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<v Speaker 4>I've been researchers in the three thousand researchers across many

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<v Speaker 4>different labs around the world. Our main lab is in Yorktown,

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<v Speaker 4>but then we have the lab actually out on the

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<v Speaker 4>West coast in Armadan or SBL Now and then we

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<v Speaker 4>have one in Zurich, Japan, and a few others around

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<v Speaker 4>the world.

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<v Speaker 3>Tell me a little bit before we get into quantum.

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<v Speaker 3>I'm just curious about your path. So you're Australian. Yep,

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<v Speaker 3>we were talking about earlier backstage. Your accent has become muted.

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<v Speaker 3>You should crank it up because it's.

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<v Speaker 4>Yeah, I'm slowly losing my Australian accent. I've been in

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<v Speaker 4>the US since two thousand and four, so accent, you know,

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<v Speaker 4>to sound very Australian. Yeah, but how do you practice it?

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<v Speaker 4>Maybe I got to go back to Australia. Here a

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<v Speaker 4>more Australians say gooday, how's it going?

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<v Speaker 2>Like that?

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<v Speaker 3>And you you didn't grow up thinking you're going to

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<v Speaker 3>be a scientist one day, now.

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<v Speaker 4>I grew up in a pretty normal life. My dreams

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<v Speaker 4>as a kid was building things, so I was either

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<v Speaker 4>going to be a carpenter or a mechanic. But I

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<v Speaker 4>had some great teachers that inspired me to go to university.

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<v Speaker 4>And I didn't even know, honestly what a scientist was.

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<v Speaker 4>And then I found myself at university doing science, particular physics,

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<v Speaker 4>and I ended up loving it.

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<v Speaker 3>So you go from there to what do you do

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<v Speaker 3>your PhD.

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<v Speaker 4>So I did my undergrad in Australia. I did it

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<v Speaker 4>actually in laser science, so I think I watched some

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<v Speaker 4>TV show in lasers seemed interesting, so I wanted to

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<v Speaker 4>learn about lasers. And then I realized in trying to

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<v Speaker 4>understand lasers there was this quantum mechanics, and so I

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<v Speaker 4>was like, all right, I want to actually understand this

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<v Speaker 4>quantum mechanics. So I did my equivalent of what you

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<v Speaker 4>and the US school masters. We call it honors in Australia,

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<v Speaker 4>but we do a research project. I said, I wanted

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<v Speaker 4>to shoot lasers into atoms and measure cross sections and

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<v Speaker 4>I got really into quantum physics. So then I decided,

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<v Speaker 4>all right, I don't understand this quantum physics. I want

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<v Speaker 4>to do my PhD in interpretations of quantum mechanics. So

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<v Speaker 4>I jumped in and said, all right, what is this

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<v Speaker 4>quantum mechanics? Why is everyone arguing on these different interpretations.

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<v Speaker 4>Then I finished my PhD in Australia doing that. Then

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<v Speaker 4>I moved over at the end of my PhD interpretations,

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<v Speaker 4>it's more people arguing about the equations whilst I think

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<v Speaker 4>it's really important. I decided if it's going to be

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<v Speaker 4>like a collapse equation versus many worlds, or a hidden

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<v Speaker 4>variable model, or that just quantum mechanics decoheres because we

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<v Speaker 4>don't see supersitions in the everyday world, because it interacts

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<v Speaker 4>with environment. The only way to answer that question was

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<v Speaker 4>to build a quantum computer. And so then I decided

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<v Speaker 4>at the end of my PhD, I wanted to work

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<v Speaker 4>out how to build a quant computer. And then I

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<v Speaker 4>left there and I went to Yale, and then at Yale,

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<v Speaker 4>that's where I got into superconducting cubits, which just a

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<v Speaker 4>few days ago one of the professors there just won

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<v Speaker 4>the Nobel Prize this year.

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<v Speaker 3>Oh wow, Yeah, I'm very interested in tracing because your

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<v Speaker 3>career follows the arc of quantum computing in a certain way.

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<v Speaker 3>Right at the time when you asked the question, what

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<v Speaker 3>I really want to do is to figure out how

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<v Speaker 3>to build a quantum computer. Where are we in quantum

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<v Speaker 3>computing at that point?

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<v Speaker 4>Yeah, So that would have been nineteen ninety So there

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<v Speaker 4>was Shaw's algorithm came out, let's say ninety five. There

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<v Speaker 4>was a lot of theory. And then the reason I

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<v Speaker 4>went to Yale is because people had started to show

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<v Speaker 4>that they could see quantum effects in electrical circuits. So

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<v Speaker 4>these macroscopic objects they were starting to behave quantum mechanical

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<v Speaker 4>There was a really significant breakthrough in nineteen ninety nine

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<v Speaker 4>where Yazoo Nakamura in Japan showed that a qubit could

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<v Speaker 4>exist in these electrical circuits. And then I found out

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<v Speaker 4>the group at Yale were really trying to take these

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<v Speaker 4>electrical circuits and couple them together. And so it was like,

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<v Speaker 4>if I can build something using electrical circuits and they're big,

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<v Speaker 4>that that's the best way that you cancide to test

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<v Speaker 4>and understand whether quantum mechanics breaks down at a macroscopic

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<v Speaker 4>scale or not. Can we actually make them behave as cubits?

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<v Speaker 4>And I agree. When I came to Yale, the cubits

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<v Speaker 4>were not very good. They were actually a couple of nanoseconds.

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<v Speaker 4>They were unstable. Electron would jump onto the chip and

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<v Speaker 4>then they would change all their configurations, so you have

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<v Speaker 4>to restart your experiment. And so for the first time

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<v Speaker 4>at Yale, it's kind of what the challenge there was,

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<v Speaker 4>how do we make a cubit? How do we make

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<v Speaker 4>a stable cubit? And that took about five years and

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<v Speaker 4>that took us up to two thousand and seven. And

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<v Speaker 4>I think the rest of the world looks and says

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<v Speaker 4>quantums like just blowing up. But it's actually been like

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<v Speaker 4>all most phases theory, showing that we got the algorithms,

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<v Speaker 4>how do we make a cubit? How do we couple

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<v Speaker 4>of the cubits together? And now we're in the scaling phase.

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<v Speaker 3>Describe for us, because many people in this room, me included,

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<v Speaker 3>have only a kind of surface level understanding of what

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<v Speaker 3>we mean when we use that phrase. What is the

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<v Speaker 3>difference between classical computing and quantum computing? What does that

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<v Speaker 3>word mean?

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<v Speaker 4>Yeah, so you can go down the physics way and

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<v Speaker 4>talk about supersition and entanglement, which we can go in later,

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<v Speaker 4>but actually feel it's a bit of a distraction. So

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<v Speaker 4>when you think of classical computers, what they were is

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<v Speaker 4>there were machines that were very good at adding numbers together,

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<v Speaker 4>like simple addition, and they really showed that they could

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<v Speaker 4>add these numbers together really really fast. And now with

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<v Speaker 4>GPUs and other AI accelerators, we can add those numbers

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<v Speaker 4>together in parallel, and so the whole classical computing can

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<v Speaker 4>come down to just arithmetic, just adding numbers together. It

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<v Speaker 4>turns out that there's a math that is the quantum

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<v Speaker 4>mechanics shown.

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<v Speaker 3>To be true.

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<v Speaker 4>It's more like a group theory type structure. And the

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<v Speaker 4>way quantum works is it has a different mathos are primitive,

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<v Speaker 4>and if we can exploit that new math and build

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<v Speaker 4>a machine that does it, it allows us to answer

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<v Speaker 4>different questions. And so think of it as a branching

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<v Speaker 4>from classical compute that is very good at adding just

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<v Speaker 4>numbers together to something that allows us to work with

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<v Speaker 4>an algebra that is much much harder to represent with addition.

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<v Speaker 4>And that algebra happens to be the same algebra that

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<v Speaker 4>defines the fundamental equations of nature shirting as equation. So

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<v Speaker 4>this is why you say it computes the same way

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<v Speaker 4>nature does. But there are many other interesting problems. So

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<v Speaker 4>the way I explain it to people is think of

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<v Speaker 4>it as bringing a new primitive to computer science and

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<v Speaker 4>allowing us to work how to go with it. And

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<v Speaker 4>I like the analogy. Well, actually, maybe go back. So

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<v Speaker 4>if you went back in time, so we're one hundred

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<v Speaker 4>years of quantum, and you went back in time and

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<v Speaker 4>you asked, what is the foundation? Is a chemistry or physics.

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<v Speaker 4>What would have probably the scientists of one hundred years

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<v Speaker 4>ago would have said is they would have said, you know,

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<v Speaker 4>chemistry is about the small, physics is about planets and

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<v Speaker 4>things like this. And one hundred years ago when Heisenberg

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<v Speaker 4>or Einstein, all the greats, Schrodinger himself invented quantum mechanics,

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<v Speaker 4>it was this concept that nature is discreete not continuous.

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<v Speaker 4>It actually brought all the physical sciences together. And now

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<v Speaker 4>quantum mechanics is like it is the foundation of the science.

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<v Speaker 4>And so now what quantum computing is by that analogy

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<v Speaker 4>is computer science. The foundation of the math is coming

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<v Speaker 4>together with the physical science to allow us to compute

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<v Speaker 4>using math that if you were to try to represent

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<v Speaker 4>it with classical computers, it takes exponential time.

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<v Speaker 3>Yeah, it was a classical computer and an expense in

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<v Speaker 3>a way that someone is well informed as I am

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<v Speaker 3>can understand it. A customer computer works primarily on problems

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<v Speaker 3>that can be easily represented in numerical form in numbers. Yes,

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<v Speaker 3>quantum allows you to step outside to a class of

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<v Speaker 3>problems that don't necessarily have a simple numerical representation.

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<v Speaker 4>Yeah, and so imagine I got some medicine or or

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<v Speaker 4>some set of operation, but call it A and I

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<v Speaker 4>then follow it by a different operation B if A

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<v Speaker 4>followed by B gave a different answer than B first

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<v Speaker 4>followed by A. So in mathematics we call that commuting.

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<v Speaker 4>But like you can think of a correlation there one

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<v Speaker 4>one gives you a different outcome to the other. That

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<v Speaker 4>means there's an algebra behind it. That Representing that algebra

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<v Speaker 4>traditionally on classical computers is really really hard, whereas that algebra,

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<v Speaker 4>if we can get creative, we can come up with

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<v Speaker 4>ways of representing that math. So we step as you say,

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<v Speaker 4>we step out aside of the simple math to a

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<v Speaker 4>new math to allow us to calculate interesting problems.

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<v Speaker 3>So quite in a sense, compliments it doesn't replace judicial.

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<v Speaker 3>That's good.

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<v Speaker 4>I think this is one of the this is you're

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<v Speaker 4>exactly on is people think quantum is going to be

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<v Speaker 4>replacing classical If your problem is good at adding numbers together,

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<v Speaker 4>you should just keep using classical computers. I think the

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<v Speaker 4>future is going to be heterogeneous accelerators, and it will

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<v Speaker 4>definitely have quantum as one. But in some sense, the

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<v Speaker 4>next generation of superstars are going to be those applied

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<v Speaker 4>mathematicians that know, how do I write a problem using

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<v Speaker 4>the simple math of classical computers or the more complicated

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<v Speaker 4>math for quantum computers, and how do I actually iterate

0:12:44.040 --> 0:12:46.760
<v Speaker 4>between them? And things like this? This is where I

0:12:46.760 --> 0:12:49.559
<v Speaker 4>think the next generation of students are going to come

0:12:49.640 --> 0:12:51.560
<v Speaker 4>up with much more novel ideas. I can give you

0:12:51.600 --> 0:12:54.080
<v Speaker 4>examples of what we want to do on quantum, but like,

0:12:54.120 --> 0:12:59.520
<v Speaker 4>you're giving them a fundamental, foundational new thing, and so

0:12:59.640 --> 0:13:03.520
<v Speaker 4>I'm optimistic that will do much better jobs than my generation.

0:13:03.640 --> 0:13:06.160
<v Speaker 3>Well, yeah, we're to get to some of the albums

0:13:06.160 --> 0:13:08.640
<v Speaker 3>in a moment, but I wanted you to the most

0:13:08.760 --> 0:13:11.600
<v Speaker 3>kind of down to you said, as a kid, you

0:13:11.679 --> 0:13:13.360
<v Speaker 3>thought you might want to be a mechanic because you'd

0:13:13.360 --> 0:13:17.080
<v Speaker 3>like to build things. Describe to me what it takes

0:13:17.120 --> 0:13:20.439
<v Speaker 3>to build a quantum computer, Like, what are you doing

0:13:20.520 --> 0:13:22.360
<v Speaker 3>that's different from building a classical computer.

0:13:22.600 --> 0:13:25.240
<v Speaker 4>Yeah, so maybe I'll give you analogy and then i'll

0:13:25.240 --> 0:13:28.800
<v Speaker 4>go in so the way classical computers, we've got them

0:13:28.840 --> 0:13:33.960
<v Speaker 4>to get to smaller and smaller sizes like five seven animeters,

0:13:34.000 --> 0:13:38.960
<v Speaker 4>five animeters and things is actually inventing material to kill

0:13:39.040 --> 0:13:43.680
<v Speaker 4>quantum effects, so you actually put dielectrics and other things

0:13:43.720 --> 0:13:46.680
<v Speaker 4>in there. To kill the quantum tunneling effects, and you

0:13:46.760 --> 0:13:51.600
<v Speaker 4>want them to behave more classically. In the quantum world,

0:13:51.720 --> 0:13:53.960
<v Speaker 4>you want to get rid of all the classical effects,

0:13:54.360 --> 0:13:56.760
<v Speaker 4>So you want to get rid of the ability of

0:13:56.800 --> 0:13:59.680
<v Speaker 4>the cubits to interact with the environment. And in the

0:14:00.080 --> 0:14:02.160
<v Speaker 4>in the sort of technical world, we call it this

0:14:02.440 --> 0:14:05.400
<v Speaker 4>quantum conflict. The more ways you want to control the

0:14:05.480 --> 0:14:09.640
<v Speaker 4>quantum computer, you open it up to interacting with everything else,

0:14:09.880 --> 0:14:13.200
<v Speaker 4>like interacting with its environment. So the biggest challenge has

0:14:13.200 --> 0:14:17.800
<v Speaker 4>always been how do we give more control but don't

0:14:17.840 --> 0:14:21.280
<v Speaker 4>bring in other sources of noise. So I want to

0:14:21.320 --> 0:14:24.360
<v Speaker 4>be able to do gates on the cubit, but I

0:14:24.400 --> 0:14:27.760
<v Speaker 4>don't want it to decohere. I want to couple the cubits,

0:14:28.040 --> 0:14:30.400
<v Speaker 4>but I don't want them to couple to other things.

0:14:30.800 --> 0:14:35.120
<v Speaker 4>So the hardest challenge is the energy inside the cubits

0:14:35.240 --> 0:14:37.440
<v Speaker 4>is a nine gigahertz, and if your tames that by

0:14:37.640 --> 0:14:41.440
<v Speaker 4>HBO tend to the neggave thirty four with nine, you're

0:14:41.480 --> 0:14:44.640
<v Speaker 4>at a tender the negative twenty like three or something

0:14:44.720 --> 0:14:48.120
<v Speaker 4>in energy. That's a tiny amount of energy. So you're

0:14:48.160 --> 0:14:51.320
<v Speaker 4>trying to have a tiny, tiny amount of energy to control,

0:14:52.120 --> 0:14:55.160
<v Speaker 4>and you don't want that to interact with anything, So

0:14:55.200 --> 0:14:57.800
<v Speaker 4>you have to cool them down, you have to isolate them,

0:14:58.080 --> 0:15:01.360
<v Speaker 4>and you have to make the quantum effects dominate over

0:15:01.400 --> 0:15:02.480
<v Speaker 4>the classical effects.

0:15:03.200 --> 0:15:06.960
<v Speaker 3>So practically, if I'm trying to do that right now,

0:15:07.080 --> 0:15:08.120
<v Speaker 3>how big are these machines.

0:15:08.480 --> 0:15:10.880
<v Speaker 4>So the cubits themselves are not that big. So the

0:15:10.960 --> 0:15:15.600
<v Speaker 4>cubits themselves are like a few microns. But yeah, most

0:15:15.640 --> 0:15:17.960
<v Speaker 4>of the size so you can see some of our

0:15:18.240 --> 0:15:20.240
<v Speaker 4>I got the pleasure of showing you around to one

0:15:20.240 --> 0:15:22.400
<v Speaker 4>of the machines in Yorktown. You saw that they're like

0:15:23.040 --> 0:15:25.920
<v Speaker 4>twenty foot by twenty foot in size. Most of that

0:15:26.480 --> 0:15:30.800
<v Speaker 4>is all that equipment to isolate the cubit chip, which

0:15:30.880 --> 0:15:33.480
<v Speaker 4>is only a few millimeters when you put it together

0:15:33.880 --> 0:15:37.360
<v Speaker 4>from the rest of the environment. We will, as we

0:15:37.440 --> 0:15:41.040
<v Speaker 4>get better at that, miniaturize all the isolation. But that's

0:15:41.240 --> 0:15:44.800
<v Speaker 4>cooling it down to a few milli calvin, so about

0:15:44.800 --> 0:15:48.560
<v Speaker 4>a thousand times colder than outer space. It's isolating the

0:15:48.760 --> 0:15:52.280
<v Speaker 4>noise on any electrical signal so that no noise from

0:15:52.320 --> 0:15:55.720
<v Speaker 4>the outside world gets into the system. And so that's

0:15:55.720 --> 0:15:59.120
<v Speaker 4>a lot of isolators, filters, and things like that that

0:15:59.200 --> 0:16:01.920
<v Speaker 4>we've had to invent and to allow us to make

0:16:01.920 --> 0:16:03.800
<v Speaker 4>the quantum properties of this chip go.

0:16:04.160 --> 0:16:06.880
<v Speaker 3>It's like the Princess and the pe mounds and mounds

0:16:06.920 --> 0:16:10.520
<v Speaker 3>and mounds of mattresses trying to isolate the impact of

0:16:10.560 --> 0:16:12.720
<v Speaker 3>this little thing, and that maybe.

0:16:12.480 --> 0:16:14.360
<v Speaker 4>That's the best way to describe it. Yeah, and you've

0:16:14.360 --> 0:16:17.080
<v Speaker 4>got to keep it really really prestige.

0:16:17.360 --> 0:16:19.240
<v Speaker 3>But that when you show me. So in the in

0:16:19.320 --> 0:16:23.040
<v Speaker 3>the lobby of the Watson Research Center in New Yorktown,

0:16:23.240 --> 0:16:26.120
<v Speaker 3>which by the way, is just the coolest building. It's

0:16:26.120 --> 0:16:30.920
<v Speaker 3>like a it's like a modernist it's also master piece. Anyway,

0:16:31.080 --> 0:16:34.600
<v Speaker 3>in the lobby there's there are these is it two machines.

0:16:34.720 --> 0:16:39.120
<v Speaker 4>It's it's inside a container that has three machines machines.

0:16:39.600 --> 0:16:41.760
<v Speaker 3>So what can you can you tell me what would

0:16:41.760 --> 0:16:43.760
<v Speaker 3>one of those machines cost to build right now?

0:16:44.360 --> 0:16:48.560
<v Speaker 4>So typically we put them together in a way where

0:16:48.640 --> 0:16:51.760
<v Speaker 4>we upgrade them because we want to as I as

0:16:51.760 --> 0:16:54.000
<v Speaker 4>I was talking about before, one of the things we

0:16:54.040 --> 0:16:57.680
<v Speaker 4>want to do is always get algorithms done on our machines.

0:16:58.360 --> 0:17:01.360
<v Speaker 4>And I've got a roadmap of build bigger and bigger machines.

0:17:01.880 --> 0:17:05.320
<v Speaker 4>So usually one of those quantum processes today is out

0:17:05.400 --> 0:17:09.480
<v Speaker 4>of date in six months so we want to build

0:17:09.520 --> 0:17:13.480
<v Speaker 4>this future of computing that leverages quantum computing, where every

0:17:13.560 --> 0:17:19.239
<v Speaker 4>six months we've outdated a quantum processor. Eventually, hopefully we

0:17:19.280 --> 0:17:22.320
<v Speaker 4>get to a point where it's like stable and it

0:17:22.320 --> 0:17:25.680
<v Speaker 4>can be many years operating. But we want to get

0:17:25.840 --> 0:17:28.960
<v Speaker 4>as large a quantum computer in the hands of people

0:17:29.040 --> 0:17:31.199
<v Speaker 4>to explore the math as possible to come up with

0:17:31.240 --> 0:17:34.119
<v Speaker 4>those new algorithms. So we've had a philosophy of having

0:17:34.160 --> 0:17:37.959
<v Speaker 4>them open, working with universities and things like that. So

0:17:37.960 --> 0:17:40.159
<v Speaker 4>to answer a question of costs, yes, there's cost in

0:17:40.240 --> 0:17:43.360
<v Speaker 4>building the system, but we are operating in them much

0:17:43.400 --> 0:17:46.360
<v Speaker 4>more in a service model where people pay to use

0:17:46.400 --> 0:17:50.199
<v Speaker 4>the machine because we have to continuously calibrate it and

0:17:50.240 --> 0:17:55.400
<v Speaker 4>operate it and so depending on various different things. Professors,

0:17:55.440 --> 0:17:57.960
<v Speaker 4>we have a credits program where they get free access

0:17:58.600 --> 0:18:02.040
<v Speaker 4>some universities and animal prizes. They can buy premium access

0:18:02.080 --> 0:18:05.040
<v Speaker 4>and get more access. So think of not like a

0:18:05.119 --> 0:18:08.199
<v Speaker 4>cost of it, because it's almost like a continuum. I

0:18:08.280 --> 0:18:11.320
<v Speaker 4>want to make sure that the best quantum processors that

0:18:11.440 --> 0:18:14.320
<v Speaker 4>I can build get in the hands of students and

0:18:14.480 --> 0:18:18.280
<v Speaker 4>professors and interested enterprises that want to explore these machines

0:18:18.320 --> 0:18:21.879
<v Speaker 4>as fast as possible, and typically every six months we

0:18:22.000 --> 0:18:22.480
<v Speaker 4>upgrade it.

0:18:22.960 --> 0:18:24.920
<v Speaker 3>Yeah, you don't start over, you upgrade.

0:18:25.080 --> 0:18:30.359
<v Speaker 4>We upgrade various different pieces, the processor, the electronics. Some

0:18:30.560 --> 0:18:35.200
<v Speaker 4>upgrades are just simply replaced the processor. But as an example,

0:18:35.520 --> 0:18:38.080
<v Speaker 4>I think many people have probably seen photos of quantum

0:18:38.119 --> 0:18:41.040
<v Speaker 4>computers and you see this scary thing with all these

0:18:41.040 --> 0:18:44.520
<v Speaker 4>wires hanging down, as I've referred to as the chandelier,

0:18:44.560 --> 0:18:47.040
<v Speaker 4>and it's got all these wires with loops and things

0:18:47.080 --> 0:18:50.440
<v Speaker 4>like that. They're called co x keebles. When we first

0:18:50.440 --> 0:18:53.000
<v Speaker 4>put the quantum computer on the cloud in twenty sixteen,

0:18:53.440 --> 0:18:58.160
<v Speaker 4>you could probably only fit about fifty cubits inside one cryostat.

0:18:58.320 --> 0:19:01.040
<v Speaker 4>We've had to upgrade all those cables so that we

0:19:01.080 --> 0:19:03.399
<v Speaker 4>can fit around one thousand. I want to get to

0:19:03.440 --> 0:19:07.280
<v Speaker 4>three thousand, and that's about miniaturizing it. So to answer

0:19:07.280 --> 0:19:09.680
<v Speaker 4>your question, an upgrade, it depends. It can be either

0:19:09.800 --> 0:19:12.879
<v Speaker 4>just the processor or it can be the complete insides.

0:19:13.400 --> 0:19:16.520
<v Speaker 4>And we're actually in our third generation of our electronics

0:19:16.560 --> 0:19:21.520
<v Speaker 4>to control the systems, to make them faster, less noise. Internally,

0:19:21.560 --> 0:19:25.960
<v Speaker 4>we've got exciting results of going to something like cold cryocemos,

0:19:26.280 --> 0:19:29.119
<v Speaker 4>so you can bring down the cost in terms of

0:19:29.240 --> 0:19:33.639
<v Speaker 4>energy of running these quantum computers almost negligible, and you

0:19:33.640 --> 0:19:37.240
<v Speaker 4>could imagine future quantum computers. I'm not going to require

0:19:37.320 --> 0:19:41.240
<v Speaker 4>much energy to run, so unlike classical compute that requires

0:19:41.240 --> 0:19:44.159
<v Speaker 4>lots of energy. The biggest machines that we envision is

0:19:44.160 --> 0:19:47.080
<v Speaker 4>only in the few megawatts. But we have to upgrade

0:19:47.119 --> 0:19:51.440
<v Speaker 4>to future controls that use less energy. So it depends.

0:19:51.600 --> 0:19:56.080
<v Speaker 4>It's my long answer, short answer to how it upgrades,

0:19:56.119 --> 0:19:57.239
<v Speaker 4>and it depends on what it is.

0:19:57.520 --> 0:20:00.639
<v Speaker 3>The only observation that I felt I could with making

0:20:00.680 --> 0:20:04.159
<v Speaker 3>when you showed me the quantum machine is it's gorgeous.

0:20:04.880 --> 0:20:05.600
<v Speaker 3>I look at art.

0:20:05.920 --> 0:20:09.399
<v Speaker 4>I've always believed that, and I think that there's an

0:20:09.440 --> 0:20:12.560
<v Speaker 4>IBM saying good design is good business. But we've always

0:20:12.880 --> 0:20:17.280
<v Speaker 4>taken pride in making sure what we build. I don't know.

0:20:17.400 --> 0:20:20.080
<v Speaker 4>I feel if you're going to build something that is

0:20:20.600 --> 0:20:24.199
<v Speaker 4>new that can change, you should take the time to

0:20:24.359 --> 0:20:26.080
<v Speaker 4>make sure it looks and feels good.

0:20:26.240 --> 0:20:28.960
<v Speaker 3>Will you donated to MoMA when you're through with that

0:20:29.040 --> 0:20:33.160
<v Speaker 3>particular Actually, I think we just put.

0:20:32.880 --> 0:20:36.480
<v Speaker 4>An old version of one of our insights with the

0:20:36.560 --> 0:20:40.840
<v Speaker 4>United Airlines and the AAPS, which is the American Physical Society,

0:20:40.880 --> 0:20:43.960
<v Speaker 4>and the University of Chicago. There's a replica right now.

0:20:44.080 --> 0:20:46.640
<v Speaker 4>If you fly into one of the terminals in Chicago,

0:20:47.160 --> 0:20:48.320
<v Speaker 4>you can walk and see one.

0:20:48.600 --> 0:20:51.199
<v Speaker 3>Oh really yeah, well the most advanced thing at all air.

0:20:51.280 --> 0:20:54.720
<v Speaker 4>I'm sure probably, but yeah, I hopefully, I think, yeah,

0:20:54.720 --> 0:20:57.919
<v Speaker 4>we're open to that. But yeah, I appreciate that you

0:20:57.960 --> 0:20:59.720
<v Speaker 4>love the design. It was beautiful.

0:21:00.200 --> 0:21:03.080
<v Speaker 3>So I last week I interviewed for another episode of

0:21:03.119 --> 0:21:08.400
<v Speaker 3>Smart TALX your CEO, Ivin Kushner, And when we got

0:21:08.440 --> 0:21:12.920
<v Speaker 3>to the quantum question, I mean, he's always alliant and brilliant,

0:21:13.760 --> 0:21:17.320
<v Speaker 3>but quantum, he's like lit up. I mean right in

0:21:17.400 --> 0:21:22.080
<v Speaker 3>thinking that IBM is much more invested in quantum than

0:21:22.080 --> 0:21:24.880
<v Speaker 3>anybody else. Is that a fair statement? Oh yeah, most definitely.

0:21:25.040 --> 0:21:28.359
<v Speaker 3>Why Why did IBM choose to kind of make this

0:21:28.440 --> 0:21:29.200
<v Speaker 3>such a priority.

0:21:29.560 --> 0:21:32.679
<v Speaker 4>So when I took to the history of the physics side,

0:21:33.480 --> 0:21:36.440
<v Speaker 4>there's this interesting thing in the history of computing. So

0:21:36.600 --> 0:21:41.240
<v Speaker 4>we build computer classical computers today using bits and sea moss,

0:21:41.240 --> 0:21:44.040
<v Speaker 4>and they consume energy. Do you know that there is

0:21:44.080 --> 0:21:47.960
<v Speaker 4>a way in classical where you can actually compute without

0:21:48.040 --> 0:21:51.480
<v Speaker 4>using energy. It's called reversal computing. Turns out to be

0:21:51.720 --> 0:21:56.400
<v Speaker 4>a terrible idea. It's not practical to build. But IBM

0:21:56.680 --> 0:22:00.760
<v Speaker 4>investigated that with Ralph Laura and Charlie ban It early

0:22:00.840 --> 0:22:04.600
<v Speaker 4>on and they proved the concept that reversible computing. The

0:22:04.640 --> 0:22:08.280
<v Speaker 4>first use of quantum information theory, one of the first

0:22:08.480 --> 0:22:12.239
<v Speaker 4>actually was from IBM. When I did my PhD, I

0:22:12.280 --> 0:22:16.199
<v Speaker 4>remember actually picking up this paper on quantum teleportation and

0:22:16.400 --> 0:22:18.840
<v Speaker 4>seeing IBM written there, and at the time I remember

0:22:18.840 --> 0:22:21.239
<v Speaker 4>thinking that they make PCs. Well, what the hell are

0:22:21.240 --> 0:22:26.399
<v Speaker 4>they doing this foundational paper on quantum teleportation? Why are

0:22:26.400 --> 0:22:29.240
<v Speaker 4>they doing it? So to answer your question, actually, IBM

0:22:29.400 --> 0:22:33.520
<v Speaker 4>was the first in quantum information science because it's the

0:22:33.600 --> 0:22:37.920
<v Speaker 4>fundamental of computation. Can we actually come up with compute

0:22:38.400 --> 0:22:42.200
<v Speaker 4>that we can go beyond the classical So way before

0:22:42.240 --> 0:22:45.719
<v Speaker 4>anyone was talking about it, they were doing fundamental theory.

0:22:46.359 --> 0:22:49.119
<v Speaker 4>And then as we've built it, we've always When I

0:22:49.160 --> 0:22:52.520
<v Speaker 4>first came there, the experimental team was small. In twenty eleven,

0:22:53.040 --> 0:22:56.960
<v Speaker 4>we've had a small team that we're focusing on single

0:22:57.040 --> 0:23:01.359
<v Speaker 4>cubitts coupling them. I think in two thy twelve was

0:23:01.359 --> 0:23:04.919
<v Speaker 4>the first time we showed really good two Cuba gates

0:23:05.720 --> 0:23:08.919
<v Speaker 4>and no one was talking about quantum computing then. And

0:23:08.960 --> 0:23:12.720
<v Speaker 4>then I remember in about twenty sixteen, I said to

0:23:13.080 --> 0:23:16.560
<v Speaker 4>actually Arvin was the director of research, then can we

0:23:16.680 --> 0:23:20.000
<v Speaker 4>actually put our quantum computer on the cloud? Well that's

0:23:20.040 --> 0:23:24.760
<v Speaker 4>probably twenty fifteen, and it was always supporting that. So

0:23:24.840 --> 0:23:27.280
<v Speaker 4>as we've done more and more we've been able to

0:23:27.320 --> 0:23:31.200
<v Speaker 4>do it. It's had this program going now, I agree

0:23:31.560 --> 0:23:34.840
<v Speaker 4>is very visible, like because we're in this scaling phase

0:23:35.240 --> 0:23:38.840
<v Speaker 4>and so we're invested to keep scaling it and to

0:23:38.840 --> 0:23:43.320
<v Speaker 4>get why is At IBM research, what we always do

0:23:43.560 --> 0:23:46.560
<v Speaker 4>is answer what is the future of computing? Whether it's

0:23:46.560 --> 0:23:50.520
<v Speaker 4>coming up with new algorithms, coming up with better AI,

0:23:50.840 --> 0:23:53.880
<v Speaker 4>coming up with quantum, or coming up with just how

0:23:53.920 --> 0:23:57.240
<v Speaker 4>do different accelerators go together. It's our DNA to answer

0:23:57.280 --> 0:23:58.960
<v Speaker 4>the question of what is the future?

0:23:59.119 --> 0:24:01.439
<v Speaker 3>Need a perfect problem for IBM because you kind of

0:24:01.480 --> 0:24:05.160
<v Speaker 3>need to have a legacy of building stuff, building actual

0:24:06.280 --> 0:24:07.320
<v Speaker 3>physical machines.

0:24:07.920 --> 0:24:11.840
<v Speaker 4>Yeah, that's why I came to IBM. I wanted the experience,

0:24:12.520 --> 0:24:17.080
<v Speaker 4>the culture of building hard things that others have not

0:24:17.160 --> 0:24:17.800
<v Speaker 4>done before.

0:24:19.119 --> 0:24:21.520
<v Speaker 3>Where do you imagine we are in the timeline of

0:24:21.520 --> 0:24:25.720
<v Speaker 3>this technology? It will come a point when it will mature.

0:24:26.800 --> 0:24:29.480
<v Speaker 3>My cell phone is a mature technology at this point.

0:24:29.720 --> 0:24:32.119
<v Speaker 3>How far are we from that point? With condom.

0:24:32.560 --> 0:24:35.160
<v Speaker 4>So I think there's various aspects of it. So we

0:24:35.200 --> 0:24:38.639
<v Speaker 4>sat in twenty and seventy we set our goal that

0:24:38.720 --> 0:24:41.480
<v Speaker 4>in twenty twenty three we would be able to build

0:24:41.480 --> 0:24:45.960
<v Speaker 4>a machine that was beyond classical computers to simulate it.

0:24:46.600 --> 0:24:49.520
<v Speaker 4>And we achieved that in twenty twenty three. So to

0:24:50.560 --> 0:24:52.480
<v Speaker 4>run a biggo we call it a quantum circuit. The

0:24:52.480 --> 0:24:54.600
<v Speaker 4>details of it don't matter, but to run a quantum

0:24:54.600 --> 0:24:58.800
<v Speaker 4>workload that if you were to simulate that workload how

0:24:58.840 --> 0:25:01.480
<v Speaker 4>a quantum computer operates, it's on a classical computer, you

0:25:01.480 --> 0:25:04.160
<v Speaker 4>couldn't do it. So we said that as our first

0:25:04.520 --> 0:25:07.440
<v Speaker 4>and now I've made it publicly that by twenty twenty

0:25:07.520 --> 0:25:11.280
<v Speaker 4>nine we'll build the first fault tolerant quantum computer. That is,

0:25:11.320 --> 0:25:15.960
<v Speaker 4>one that can completely handle the noise to the level

0:25:16.040 --> 0:25:19.720
<v Speaker 4>to allow you to run a very very large, large problem.

0:25:19.840 --> 0:25:22.240
<v Speaker 3>So an example of a large problem.

0:25:21.920 --> 0:25:25.480
<v Speaker 4>Yeah, a large quantum problem. So for around a couple

0:25:25.480 --> 0:25:29.080
<v Speaker 4>of one hundred cubits and one hundred million operations, you're

0:25:29.119 --> 0:25:34.640
<v Speaker 4>talking still interesting science problems like simulating a molecule, or

0:25:35.119 --> 0:25:42.520
<v Speaker 4>calculating a small optimization problem, or calculating, say some part

0:25:42.800 --> 0:25:45.600
<v Speaker 4>of a matrix update. In some type of differential so

0:25:45.600 --> 0:25:48.600
<v Speaker 4>it'll still be scientific, but it'll be at the point

0:25:48.680 --> 0:25:54.480
<v Speaker 4>where it's beyond, well beyond any classical approximate method. And

0:25:54.520 --> 0:25:57.440
<v Speaker 4>then I think that's twenty twenty nine. That's twenty twenty nine,

0:25:57.680 --> 0:25:58.960
<v Speaker 4>So we're four.

0:25:58.840 --> 0:26:01.600
<v Speaker 3>Years away from something that can start to handle.

0:26:01.920 --> 0:26:05.840
<v Speaker 4>Interesting problem, serious problems. I do believe the scientists will

0:26:05.840 --> 0:26:09.280
<v Speaker 4>find interesting heuristic problems before that, And so over the

0:26:09.359 --> 0:26:11.800
<v Speaker 4>next four years, you're going to continue to see more

0:26:11.880 --> 0:26:16.400
<v Speaker 4>and more let's call them heuristic not provable quantum problems

0:26:16.400 --> 0:26:19.440
<v Speaker 4>that run on quantum computers that come out. We're see

0:26:19.560 --> 0:26:22.359
<v Speaker 4>more and more come from many of our partners and ourselves.

0:26:22.640 --> 0:26:25.440
<v Speaker 4>Heuristic problems have value, but they have to be tested,

0:26:25.520 --> 0:26:27.240
<v Speaker 4>they have to stand up over time. You have to

0:26:27.320 --> 0:26:29.719
<v Speaker 4>run them many, many times, you have to try different ones,

0:26:30.160 --> 0:26:33.240
<v Speaker 4>and many times heuristic can lead to formal problems. So

0:26:33.280 --> 0:26:35.399
<v Speaker 4>you're going to see, because we're beyond now the point

0:26:35.440 --> 0:26:39.760
<v Speaker 4>that you can simulate these quantum computers with any classical computer.

0:26:39.880 --> 0:26:43.360
<v Speaker 4>They're kind of like a scientific tool. So they're exploring

0:26:43.440 --> 0:26:44.000
<v Speaker 4>the heuristic.

0:26:44.240 --> 0:26:45.840
<v Speaker 3>What do you have to get done between now and

0:26:45.880 --> 0:26:47.240
<v Speaker 3>twenty twenty nine to get there?

0:26:47.640 --> 0:26:49.760
<v Speaker 4>So we had to reinvent how we wanted to do

0:26:49.920 --> 0:26:53.879
<v Speaker 4>error correction. So we have to demonstrate modules and if

0:26:53.920 --> 0:26:57.600
<v Speaker 4>we can demonstrate these error corrected module and our goal

0:26:57.720 --> 0:26:59.960
<v Speaker 4>is actually it's called Kooko, but I name all that

0:27:00.080 --> 0:27:02.840
<v Speaker 4>chips after birds, so it's called Kuoko. Borrow is named

0:27:02.840 --> 0:27:05.480
<v Speaker 4>after an Australian vert. I think I still say Cuoko

0:27:05.520 --> 0:27:10.000
<v Speaker 4>Borrow the way Australians do. We need to then show

0:27:10.040 --> 0:27:12.159
<v Speaker 4>that we can make a single module and then we

0:27:12.200 --> 0:27:14.560
<v Speaker 4>want to connect two of those modules together, and I

0:27:14.640 --> 0:27:18.399
<v Speaker 4>call that one Cockatoo, which is another Australian vert. And

0:27:18.440 --> 0:27:21.160
<v Speaker 4>then if we can do that, so that's twenty six

0:27:21.680 --> 0:27:24.280
<v Speaker 4>and twenty seven, and then we want to scale them

0:27:24.480 --> 0:27:27.479
<v Speaker 4>scale those modules, and that we call Starling, and we

0:27:27.480 --> 0:27:30.240
<v Speaker 4>want to scale that in twenty twenty nine. So get

0:27:30.280 --> 0:27:33.959
<v Speaker 4>a module, join two modules together, and scale and so

0:27:34.040 --> 0:27:36.440
<v Speaker 4>each module is going to be around one thousand cubits.

0:27:37.480 --> 0:27:40.000
<v Speaker 3>The challenge to getting there is it finding the right

0:27:40.240 --> 0:27:43.760
<v Speaker 3>material or how would you describe what that's.

0:27:43.600 --> 0:27:46.159
<v Speaker 4>The beauty to be done. That's the beauty of it

0:27:46.200 --> 0:27:49.440
<v Speaker 4>is if we would have been here two years ago,

0:27:50.240 --> 0:27:52.919
<v Speaker 4>I couldn't tell you how it would be done. So

0:27:53.000 --> 0:27:55.520
<v Speaker 4>we had a huge breakthrough we came up with a

0:27:55.520 --> 0:27:59.760
<v Speaker 4>new code, a new quantumeric Russian code, and that code.

0:28:00.320 --> 0:28:02.760
<v Speaker 4>The biggest in part of that code that is the

0:28:02.800 --> 0:28:07.080
<v Speaker 4>most important is it's modular in nature. So previous codes,

0:28:07.280 --> 0:28:11.199
<v Speaker 4>without getting too technical, they were very monolithic and you

0:28:11.240 --> 0:28:13.320
<v Speaker 4>had to build a very big device and I wouldn't

0:28:13.320 --> 0:28:16.640
<v Speaker 4>have known we would have to invent tools like new

0:28:16.840 --> 0:28:20.119
<v Speaker 4>simos tools to do that. So we came up with

0:28:20.160 --> 0:28:23.800
<v Speaker 4>this new code. We started on twenty nineteen, we published

0:28:23.840 --> 0:28:25.720
<v Speaker 4>in twenty twenty four. We kind of had most of

0:28:25.800 --> 0:28:28.159
<v Speaker 4>things worked out in twenty twenty three. That's why we

0:28:28.200 --> 0:28:31.440
<v Speaker 4>got confident to release the thing. So the biggest breakthrough

0:28:31.480 --> 0:28:33.800
<v Speaker 4>we had is coming up with a code that's modular

0:28:33.840 --> 0:28:36.960
<v Speaker 4>in nature. And think of that as a like a blueprint.

0:28:37.280 --> 0:28:40.280
<v Speaker 4>And so now we have the blueprint and now we're

0:28:40.320 --> 0:28:45.000
<v Speaker 4>doing engineering tasks to implement every part of that blueprint.

0:28:45.200 --> 0:28:48.360
<v Speaker 3>And so the minute you had that breakthrough, then you

0:28:48.440 --> 0:28:51.240
<v Speaker 3>began to have confidence at something exactly these goals could

0:28:51.240 --> 0:28:51.680
<v Speaker 3>be met.

0:28:51.800 --> 0:28:55.520
<v Speaker 4>And then you can't. And then anyone that's done engineering

0:28:55.800 --> 0:28:57.480
<v Speaker 4>will know what I'm talking about when I say this

0:28:57.720 --> 0:29:01.920
<v Speaker 4>is cycles are learning. It takes so long from test

0:29:01.960 --> 0:29:06.040
<v Speaker 4>idea to build two tests in hardware, the cycles of

0:29:06.160 --> 0:29:08.480
<v Speaker 4>learning are much much lower than software, Like you can

0:29:08.520 --> 0:29:11.760
<v Speaker 4>be really, really faster in the software. So then we've

0:29:11.840 --> 0:29:15.520
<v Speaker 4>planned out our iterations over the next few years, and

0:29:15.600 --> 0:29:19.800
<v Speaker 4>so we have to successfully demonstrate them. I may slip

0:29:19.840 --> 0:29:24.600
<v Speaker 4>because sometimes you may estimate your time wrong, but we

0:29:24.760 --> 0:29:27.200
<v Speaker 4>now have exactly what we want to do for the

0:29:27.200 --> 0:29:27.960
<v Speaker 4>next four years.

0:29:28.080 --> 0:29:29.640
<v Speaker 3>I want to go back to that breakthrough for a moment.

0:29:29.800 --> 0:29:32.479
<v Speaker 3>What does the word breaks we mean in that context, Like,

0:29:32.760 --> 0:29:34.840
<v Speaker 3>it's not that you get a call in the morning

0:29:35.280 --> 0:29:36.720
<v Speaker 3>from somebody who says.

0:29:36.400 --> 0:29:36.840
<v Speaker 2>I did it?

0:29:37.360 --> 0:29:39.120
<v Speaker 3>Do you see it coming? Or is it a surprise

0:29:39.160 --> 0:29:39.960
<v Speaker 3>when they get there.

0:29:40.160 --> 0:29:43.800
<v Speaker 4>So the way this one worked is Sogo Brave, who's

0:29:44.320 --> 0:29:47.280
<v Speaker 4>an algorithm person at IBM, one of the smartest and

0:29:47.400 --> 0:29:48.200
<v Speaker 4>quantum information.

0:29:48.880 --> 0:29:52.480
<v Speaker 3>Don't mention his name to everyone. You'll come for him.

0:29:52.520 --> 0:29:55.400
<v Speaker 4>Everyone in quantum already knows his name. I don't think

0:29:55.400 --> 0:29:59.280
<v Speaker 4>there's an idea that has not originated from him in quantum.

0:30:00.600 --> 0:30:04.120
<v Speaker 4>So we're looking at other codes and we'll go all right,

0:30:05.120 --> 0:30:08.880
<v Speaker 4>we've got to get serious about these codes. And others

0:30:09.000 --> 0:30:11.600
<v Speaker 4>were starting to propose to bring these and then we

0:30:11.600 --> 0:30:16.400
<v Speaker 4>call them LDPC codes from the classical space into the quantum,

0:30:16.880 --> 0:30:19.600
<v Speaker 4>and I asked him, we need to get ahead of

0:30:19.640 --> 0:30:22.320
<v Speaker 4>this and understand what they're doing it. He's like, the

0:30:22.360 --> 0:30:26.120
<v Speaker 4>most modest perfuse late, Jay, let me learn about them

0:30:26.200 --> 0:30:29.280
<v Speaker 4>and I'll generate a report for us and we'll read

0:30:29.320 --> 0:30:32.360
<v Speaker 4>through it. And then I said great. Then I don't know.

0:30:32.400 --> 0:30:34.800
<v Speaker 4>Six months later, he comes back with one hundred page

0:30:34.840 --> 0:30:38.800
<v Speaker 4>report on everyone everyone had done in LTPC codes. I'm like, awesome.

0:30:38.840 --> 0:30:42.320
<v Speaker 4>So I started then to read from them. And then

0:30:42.440 --> 0:30:45.440
<v Speaker 4>we said, all right, how do we under the assumptions

0:30:45.480 --> 0:30:48.400
<v Speaker 4>of the hardware we can build? Can we get an

0:30:48.560 --> 0:30:54.280
<v Speaker 4>LTPC code knowing what we can build? And that's a

0:30:54.320 --> 0:30:57.200
<v Speaker 4>great question, and so we put a small team together

0:30:57.600 --> 0:31:01.320
<v Speaker 4>to investigate and honestly took two to three years, and

0:31:01.720 --> 0:31:05.880
<v Speaker 4>we iterated and we used the constraints, so we had

0:31:05.920 --> 0:31:08.720
<v Speaker 4>the sort of theory, and then we had the constraints

0:31:08.760 --> 0:31:11.480
<v Speaker 4>of what we could build. And we iterated for a

0:31:11.520 --> 0:31:13.960
<v Speaker 4>few years, and then at the end of that we

0:31:14.000 --> 0:31:16.920
<v Speaker 4>came out with a solution that yes, it is possible

0:31:16.960 --> 0:31:20.080
<v Speaker 4>to meet all the constraints of the hardware and build

0:31:20.120 --> 0:31:21.400
<v Speaker 4>a code that will work.

0:31:22.000 --> 0:31:26.240
<v Speaker 3>I'm just curious about So you had this task, this problem,

0:31:26.280 --> 0:31:29.440
<v Speaker 3>you want to solve. And when you set out on

0:31:29.480 --> 0:31:31.760
<v Speaker 3>the task of trying to solve the problem, what's your

0:31:31.840 --> 0:31:34.440
<v Speaker 3>certainty level that you'll get a solution.

0:31:34.880 --> 0:31:38.200
<v Speaker 4>Well, that's the beauty of science for things where you

0:31:38.360 --> 0:31:42.200
<v Speaker 4>kind of have a few ideas. My philosophy is try

0:31:42.240 --> 0:31:44.800
<v Speaker 4>a few for the ones that need to be in

0:31:44.880 --> 0:31:49.760
<v Speaker 4>that like wow moment. It's honestly, you've got to set

0:31:49.800 --> 0:31:53.160
<v Speaker 4>the ambition really, really high, but know when to stop.

0:31:54.080 --> 0:31:56.120
<v Speaker 4>It was a great team that went together to get

0:31:56.160 --> 0:31:59.120
<v Speaker 4>that breakthrough, and we knew that we needed to come

0:31:59.200 --> 0:32:03.240
<v Speaker 4>up with a code that met the requirements of the experiment.

0:32:03.800 --> 0:32:07.480
<v Speaker 4>And I think what was different before then is the

0:32:07.480 --> 0:32:12.240
<v Speaker 4>theorists that were doing error correction codes didn't necessarily know

0:32:12.480 --> 0:32:16.000
<v Speaker 4>the constraints of experiments, so it was like really more

0:32:16.040 --> 0:32:18.520
<v Speaker 4>pen and paper. So this became one, all right, given

0:32:18.520 --> 0:32:22.280
<v Speaker 4>these sets of constraints, is it possible when LA's.

0:32:22.200 --> 0:32:25.280
<v Speaker 3>Questions about this? Sorry, I love these kind of moments

0:32:25.280 --> 0:32:28.920
<v Speaker 3>when things become clear. At the time the problem was solved,

0:32:29.480 --> 0:32:32.120
<v Speaker 3>were you aware of the implications of the solution or

0:32:32.600 --> 0:32:34.720
<v Speaker 3>did that takes you knew exactly what.

0:32:35.480 --> 0:32:39.120
<v Speaker 4>We set out exactly like either we were going to

0:32:39.200 --> 0:32:41.400
<v Speaker 4>have to work out how to cool down a very

0:32:41.480 --> 0:32:44.880
<v Speaker 4>large piece of silicon, which would require a lot of

0:32:44.920 --> 0:32:48.280
<v Speaker 4>engineering and building tools beyond what anyone has ever built

0:32:48.280 --> 0:32:53.120
<v Speaker 4>in the silicon semoss industry to implement the known codes,

0:32:53.760 --> 0:32:56.000
<v Speaker 4>or we had to come up with a different one,

0:32:56.240 --> 0:32:58.800
<v Speaker 4>and once I knew that we had one, that I

0:32:59.000 --> 0:33:03.120
<v Speaker 4>didn't need to re invent any tools to build. The

0:33:03.160 --> 0:33:04.680
<v Speaker 4>implications are clear how.

0:33:04.640 --> 0:33:07.719
<v Speaker 3>Much time elapsed between the time you heard the problem

0:33:07.800 --> 0:33:11.000
<v Speaker 3>was solved and the time you told Arvin Krishna, the CEO,

0:33:11.120 --> 0:33:12.360
<v Speaker 3>the problem was solved.

0:33:13.360 --> 0:33:15.840
<v Speaker 4>I'm sure the next time I spoke to him, I update,

0:33:15.880 --> 0:33:18.800
<v Speaker 4>but I don't remember. The beauty of Avin is he

0:33:18.840 --> 0:33:21.440
<v Speaker 4>trusts the scientists will do it, and so he doesn't

0:33:21.440 --> 0:33:24.280
<v Speaker 4>really check on us. We update him when it is,

0:33:24.320 --> 0:33:27.440
<v Speaker 4>and he he empowers us to do really hard problems.

0:33:27.640 --> 0:33:31.360
<v Speaker 3>Yeah, so let's talk about uses. I mean, they're really

0:33:31.440 --> 0:33:35.280
<v Speaker 3>like cool, big shiny machine. I think you'll get pay

0:33:35.320 --> 0:33:38.560
<v Speaker 3>twenty twenty nine. But there's all kinds of really interesting

0:33:38.600 --> 0:33:40.040
<v Speaker 3>problems you're already working on.

0:33:40.440 --> 0:33:45.680
<v Speaker 4>Yes, this is like another interesting area is I can

0:33:45.840 --> 0:33:49.400
<v Speaker 4>prove in pen and paper algorithms that we want to

0:33:49.480 --> 0:33:51.719
<v Speaker 4>run that. Like, it's not that we don't know what

0:33:51.760 --> 0:33:54.720
<v Speaker 4>to do with a quantum computer, there are hundreds of algorithms.

0:33:54.720 --> 0:33:57.280
<v Speaker 4>So you can go to I think it's called quantumzoo

0:33:57.320 --> 0:34:00.360
<v Speaker 4>dot com and you can see many many algorithms. People

0:34:00.360 --> 0:34:01.920
<v Speaker 4>are coming up with more of more of them that

0:34:02.000 --> 0:34:05.680
<v Speaker 4>they prove by pen and paper. Imagine, now we have

0:34:05.800 --> 0:34:10.760
<v Speaker 4>a machine that you can't simulate. How do you actually

0:34:11.560 --> 0:34:16.160
<v Speaker 4>discover algorithms in a scientific way? How do you look

0:34:16.239 --> 0:34:19.840
<v Speaker 4>and discover algorithms using a quantum computer. We're in this

0:34:20.000 --> 0:34:24.319
<v Speaker 4>exciting period right now, and so even though I can

0:34:24.400 --> 0:34:26.640
<v Speaker 4>prove these ones that we can run in the future,

0:34:27.160 --> 0:34:31.000
<v Speaker 4>there's a big white space between what the machines we

0:34:31.080 --> 0:34:33.080
<v Speaker 4>have and we're going to build and continue to do

0:34:33.480 --> 0:34:38.120
<v Speaker 4>and those ones that want the provable ones. And I'm

0:34:38.120 --> 0:34:43.480
<v Speaker 4>an optimistic person by nature. I think getting those machines

0:34:43.520 --> 0:34:45.920
<v Speaker 4>in the hands of students to explore and look at

0:34:45.920 --> 0:34:50.080
<v Speaker 4>heuristic algorithms, so looking at the equivalent of doing numerical

0:34:50.160 --> 0:34:55.959
<v Speaker 4>algorithms on computers, which there's many histories of numerical algorithms

0:34:56.040 --> 0:34:59.880
<v Speaker 4>being discovered on classical computers before we had formal pre

0:35:00.600 --> 0:35:03.520
<v Speaker 4>that we rely on today. People would even argue the

0:35:03.560 --> 0:35:07.200
<v Speaker 4>way AI works was driven numerically, even though we have

0:35:07.560 --> 0:35:11.520
<v Speaker 4>input into it. There are ones in optimization driven numerically.

0:35:12.040 --> 0:35:15.879
<v Speaker 4>We are entering that phase. So the computer scientists now

0:35:16.480 --> 0:35:20.160
<v Speaker 4>need to go play with these primitives. Our prediction is

0:35:20.880 --> 0:35:23.600
<v Speaker 4>over the next couple of years we're going to see

0:35:24.000 --> 0:35:28.799
<v Speaker 4>valuable numerical equivalent algorithms emerge. And where the scientists are

0:35:28.840 --> 0:35:32.719
<v Speaker 4>going is in four categories. One is simulating nature, so

0:35:32.840 --> 0:35:38.000
<v Speaker 4>looking at either Haanji physics, chemistry, light problems. As an example,

0:35:38.120 --> 0:35:41.279
<v Speaker 4>with our partners in Japan, they took one of our

0:35:41.320 --> 0:35:47.160
<v Speaker 4>quantum computers and for Gackle, a very large classical supercomputer,

0:35:47.520 --> 0:35:50.400
<v Speaker 4>and they ran a problem where quantum was just a

0:35:50.440 --> 0:35:53.640
<v Speaker 4>sub routine of the problem that was running on all

0:35:53.640 --> 0:35:55.480
<v Speaker 4>of for garcule, and they were able to look at

0:35:55.520 --> 0:35:58.440
<v Speaker 4>an interesting molecule, a molecule that if you would go

0:35:58.480 --> 0:36:00.319
<v Speaker 4>by pen and paper you would have said to take

0:36:00.400 --> 0:36:02.560
<v Speaker 4>me a very long time to run that. They were

0:36:02.600 --> 0:36:06.160
<v Speaker 4>able to run that quite accurately, heuristically, and already get

0:36:06.280 --> 0:36:09.319
<v Speaker 4>results that are comparable with the best classical methods. So

0:36:09.360 --> 0:36:11.719
<v Speaker 4>they are extremely excited because they want to push that

0:36:11.800 --> 0:36:13.920
<v Speaker 4>further and they're sort of showing that you can take

0:36:13.960 --> 0:36:18.120
<v Speaker 4>a classical supercomputer with quantum as a subroutine and start

0:36:18.160 --> 0:36:19.520
<v Speaker 4>to push the level they were.

0:36:19.920 --> 0:36:22.240
<v Speaker 3>This was trying to solve a medical problem.

0:36:22.280 --> 0:36:26.640
<v Speaker 4>Is this one is a like most people don't realize,

0:36:26.680 --> 0:36:29.560
<v Speaker 4>Like iron sulfur, just something as simple as iron and sulfur,

0:36:29.920 --> 0:36:34.520
<v Speaker 4>we can't solve that exactly, Like iron sulfur, molecules are

0:36:34.560 --> 0:36:38.879
<v Speaker 4>too hard, so really small small molecules are really really hard,

0:36:38.960 --> 0:36:41.799
<v Speaker 4>too hard for classical computers to solve. People think we

0:36:41.840 --> 0:36:44.080
<v Speaker 4>can solve a lot of things. It actually turns out

0:36:44.080 --> 0:36:45.240
<v Speaker 4>we can't solve very much.

0:36:45.480 --> 0:36:48.359
<v Speaker 3>You say solve its instance, you know precisely how that

0:36:48.400 --> 0:36:50.520
<v Speaker 3>molecule works and it's constructed.

0:36:50.520 --> 0:36:54.600
<v Speaker 4>No precisely what the energy levels of that molecule is

0:36:54.680 --> 0:36:57.440
<v Speaker 4>and how they come together, and then be able to

0:36:57.440 --> 0:36:59.799
<v Speaker 4>do that on a classical computer and compare it talk.

0:37:00.360 --> 0:37:04.240
<v Speaker 3>It would be really really useful to know that specifically, because.

0:37:04.280 --> 0:37:07.320
<v Speaker 4>If you can have energy levels, then you can estimate

0:37:07.600 --> 0:37:10.839
<v Speaker 4>reaction rates. If you can estimate reaction rates, you can

0:37:10.840 --> 0:37:14.680
<v Speaker 4>see how different types of chemicals will react. That can

0:37:14.719 --> 0:37:18.400
<v Speaker 4>then lead to better informing eventually how to build materials

0:37:18.760 --> 0:37:21.080
<v Speaker 4>or even drug design. I just want to be careful

0:37:21.080 --> 0:37:23.160
<v Speaker 4>and not say, oh, we're going to solve drug design

0:37:23.200 --> 0:37:28.319
<v Speaker 4>or that because there's many scientific steps to make that so.

0:37:28.960 --> 0:37:31.200
<v Speaker 4>And so what quantum gives you as a different tool

0:37:31.239 --> 0:37:34.480
<v Speaker 4>to give you more accuracy and then lead to making

0:37:34.560 --> 0:37:35.759
<v Speaker 4>the different methods work.

0:37:36.360 --> 0:37:41.200
<v Speaker 3>You can subcontract out aspects of a problem quantum right now,

0:37:41.239 --> 0:37:44.200
<v Speaker 3>and that just gets you further along than you would

0:37:44.200 --> 0:37:44.440
<v Speaker 3>have been.

0:37:44.719 --> 0:37:48.440
<v Speaker 4>So at the moment, even this result still does not

0:37:48.560 --> 0:37:53.600
<v Speaker 4>beat the best approximate classical method. It's comparable. So the

0:37:53.880 --> 0:37:57.319
<v Speaker 4>art of chemistry for the last hundred years has been

0:37:57.360 --> 0:38:01.239
<v Speaker 4>about approximating. So what we've done is we have got

0:38:01.680 --> 0:38:05.760
<v Speaker 4>very very good at coming up with ways of approximating nature.

0:38:06.680 --> 0:38:09.000
<v Speaker 4>And a lot of the things that we do and

0:38:09.040 --> 0:38:12.560
<v Speaker 4>we exploit and we use to estimate approximations. They don't

0:38:12.560 --> 0:38:15.720
<v Speaker 4>a stimulate nature of the way nature is. They approximate it.

0:38:15.760 --> 0:38:19.960
<v Speaker 4>And there's I could list many different acronyms of different

0:38:20.000 --> 0:38:24.600
<v Speaker 4>methods that go into approximating nature. What quantum gives us

0:38:24.680 --> 0:38:28.680
<v Speaker 4>is to eventually get beyond that approximation and do it

0:38:28.760 --> 0:38:32.080
<v Speaker 4>the way nature works. And so we aren't beating those

0:38:32.120 --> 0:38:35.000
<v Speaker 4>approximation methods, and this is why I think, this is

0:38:35.000 --> 0:38:37.120
<v Speaker 4>why it's still in the science. But they're getting comparable,

0:38:37.480 --> 0:38:40.800
<v Speaker 4>getting comparable with a new tool where the previous tool

0:38:40.960 --> 0:38:44.960
<v Speaker 4>is a dead end makes scientists very excited. Yeah, that

0:38:45.040 --> 0:38:47.880
<v Speaker 4>nuance is where it is, and so that's in machine learning.

0:38:48.000 --> 0:38:52.680
<v Speaker 4>Sorry Hamiltonian. Then there's examples in differential equations, So can

0:38:52.719 --> 0:38:55.680
<v Speaker 4>I actually come up with differential equations and solve them?

0:38:56.080 --> 0:38:57.880
<v Speaker 4>And if I can solve them, you could look at

0:38:58.239 --> 0:39:02.320
<v Speaker 4>things like an obvious Stokes goes into weather. There's financial

0:39:02.360 --> 0:39:06.160
<v Speaker 4>differential equations that you can better predict. So differential equations,

0:39:06.239 --> 0:39:09.080
<v Speaker 4>there's many different examples there. And then I would say

0:39:09.080 --> 0:39:12.680
<v Speaker 4>that two others are optimization and then there's quantum versions

0:39:12.680 --> 0:39:15.399
<v Speaker 4>of machine learning that are very exciting as well.

0:39:16.040 --> 0:39:19.160
<v Speaker 3>Cleveland Clinic one of the organizations that you guys have

0:39:19.239 --> 0:39:22.000
<v Speaker 3>worked with. Why would the Cleveland Clinic be calling you up?

0:39:22.360 --> 0:39:25.239
<v Speaker 4>Because that problem that they want to look at. So

0:39:26.120 --> 0:39:29.400
<v Speaker 4>they've also done similar problem to the recent lab. So

0:39:29.400 --> 0:39:32.680
<v Speaker 4>they've taken that method now and they've looked at molecules

0:39:32.680 --> 0:39:37.200
<v Speaker 4>that matter for drug design. So they're fundamentally looking at

0:39:37.239 --> 0:39:42.040
<v Speaker 4>those molecules that matter for eventually replacing some of the steps.

0:39:42.400 --> 0:39:46.080
<v Speaker 4>So they're investing to see how reliable it can be done.

0:39:46.160 --> 0:39:48.880
<v Speaker 4>And so there's a scientist there that's done many iterations

0:39:48.920 --> 0:39:52.040
<v Speaker 4>now using the techniques that were done first with the

0:39:52.040 --> 0:39:56.040
<v Speaker 4>team in Japan, they've now replicated that for new molecules

0:39:56.520 --> 0:40:01.080
<v Speaker 4>that are essential primitives for eventually designed drugs and things

0:40:01.080 --> 0:40:03.120
<v Speaker 4>that may matter for medical Yeah.

0:40:03.239 --> 0:40:08.360
<v Speaker 3>And also there's some finance firms yep, HBC, Van Good yep,

0:40:08.840 --> 0:40:09.960
<v Speaker 3>and their interest is.

0:40:09.920 --> 0:40:13.560
<v Speaker 4>What so that was the differential equation and optimization. So

0:40:14.200 --> 0:40:18.400
<v Speaker 4>if you are doing very large calculations like risk portfolio,

0:40:19.000 --> 0:40:21.440
<v Speaker 4>or if you want to model the black Shaw's equation

0:40:21.600 --> 0:40:23.759
<v Speaker 4>or things like this that are fundamental for them to

0:40:24.000 --> 0:40:27.040
<v Speaker 4>make better predictions, come up with better trades and things

0:40:27.080 --> 0:40:31.399
<v Speaker 4>like this. That is a very hard computational task. And

0:40:31.480 --> 0:40:35.240
<v Speaker 4>so rather than quantum replacing that whole problem, can quantum

0:40:35.280 --> 0:40:39.200
<v Speaker 4>be a subroutine in there? And what HSBC showed is

0:40:39.239 --> 0:40:41.680
<v Speaker 4>they showed they could take their real data, they could

0:40:41.719 --> 0:40:45.239
<v Speaker 4>take their real classical method and they just replaced a

0:40:45.280 --> 0:40:48.160
<v Speaker 4>tiny part of it. They replaced a tiny part of

0:40:48.200 --> 0:40:51.319
<v Speaker 4>it with a quantum subroutine that allowed them to come

0:40:51.400 --> 0:40:54.759
<v Speaker 4>up with better predictions of the weights that then when

0:40:54.800 --> 0:40:57.680
<v Speaker 4>they were to compare trial A versus Trial B, it

0:40:57.760 --> 0:41:02.200
<v Speaker 4>was thirty four percent better at algorithmic tun and that's

0:41:02.200 --> 0:41:03.160
<v Speaker 4>a big deal for them.

0:41:03.560 --> 0:41:04.120
<v Speaker 3>It's huge.

0:41:04.239 --> 0:41:07.520
<v Speaker 4>Yes, Now do they need to do more trials? Do

0:41:07.600 --> 0:41:10.160
<v Speaker 4>they need to see is this a heuristic algorithm? Do

0:41:10.239 --> 0:41:13.200
<v Speaker 4>we need to be careful? Is there other classical algorithms

0:41:13.239 --> 0:41:15.520
<v Speaker 4>that go into these are great questions that are now

0:41:16.040 --> 0:41:20.359
<v Speaker 4>being investigated. So think of this period of heuristic algorithms

0:41:20.920 --> 0:41:24.680
<v Speaker 4>is really a period of scientific discovery using these machines,

0:41:25.640 --> 0:41:28.560
<v Speaker 4>knowing that we want to continue and build the ones

0:41:28.640 --> 0:41:32.160
<v Speaker 4>which have determinist their algorithms that can run.

0:41:33.000 --> 0:41:36.280
<v Speaker 3>Do the people who would profit the most space starting

0:41:36.280 --> 0:41:41.640
<v Speaker 3>to run quantum experiments realize that they would profit so

0:41:41.719 --> 0:41:45.080
<v Speaker 3>much from running quantum experience And does the world know this?

0:41:45.719 --> 0:41:49.520
<v Speaker 3>You've given us a couple of specific examples, but generally speaking,

0:41:49.520 --> 0:41:51.680
<v Speaker 3>there must be a very large universe of people who

0:41:51.719 --> 0:41:54.760
<v Speaker 3>could gain from at least starting to play in the space.

0:41:55.360 --> 0:41:59.680
<v Speaker 4>So the enterprises that use computation as key for their

0:42:00.840 --> 0:42:04.840
<v Speaker 4>understand the limits of classical computation and they're very interested

0:42:04.880 --> 0:42:09.400
<v Speaker 4>to get started. The universities are very interested. Could we

0:42:09.440 --> 0:42:13.920
<v Speaker 4>get more students doing more algorithms one hundred percent. Some

0:42:14.080 --> 0:42:17.160
<v Speaker 4>of the limitations on the rate of algorithm discovery is

0:42:17.200 --> 0:42:21.080
<v Speaker 4>because people are thinking through the classical way of writing algorithms.

0:42:21.120 --> 0:42:23.680
<v Speaker 4>My belief is yes, So this is why we want

0:42:23.719 --> 0:42:25.960
<v Speaker 4>to get more and more students and things, because it's

0:42:26.040 --> 0:42:29.080
<v Speaker 4>just starting. But I would say in general most people

0:42:29.160 --> 0:42:32.359
<v Speaker 4>are aware of it. Could we get more, could we

0:42:32.440 --> 0:42:33.239
<v Speaker 4>accelerate it?

0:42:33.480 --> 0:42:33.719
<v Speaker 3>Yes?

0:42:33.920 --> 0:42:36.040
<v Speaker 4>Do we need to make better hardware, do we need

0:42:36.080 --> 0:42:38.600
<v Speaker 4>to come up with better libraries, yes? Do we need

0:42:38.640 --> 0:42:42.080
<v Speaker 4>better software yes, But it's all happening over the next

0:42:42.080 --> 0:42:42.720
<v Speaker 4>few years.

0:42:43.080 --> 0:42:45.279
<v Speaker 3>Is it hard to get someone who's spent their entire

0:42:45.320 --> 0:42:48.560
<v Speaker 3>life thinking in terms of solving problems to classical means

0:42:48.719 --> 0:42:50.600
<v Speaker 3>to make the transition to this new paradigm.

0:42:51.360 --> 0:42:54.160
<v Speaker 4>There's a lot of examples when you approach something with

0:42:54.280 --> 0:42:57.680
<v Speaker 4>the classical intuition, it's not the right way to do

0:42:57.719 --> 0:43:00.879
<v Speaker 4>it when you approach it through the quantum. But if

0:43:00.920 --> 0:43:05.200
<v Speaker 4>people are being taught to understand the fundamentals of the math,

0:43:05.719 --> 0:43:09.320
<v Speaker 4>then a lot of the techniques carry across. I don't

0:43:09.360 --> 0:43:13.240
<v Speaker 4>recommend people need to learn about entanglement or supersition because

0:43:14.040 --> 0:43:18.280
<v Speaker 4>whilst the physicists will argue like spooky action a distance

0:43:18.320 --> 0:43:21.520
<v Speaker 4>and all these type of things, entanglement is the power. Yes,

0:43:21.600 --> 0:43:24.799
<v Speaker 4>that's how physicists are labeled. How quantum is different. But

0:43:24.880 --> 0:43:28.280
<v Speaker 4>I would say, do we need some physicists really worrying

0:43:28.440 --> 0:43:31.680
<v Speaker 4>thinking about that? Yes, but we need more applied mathematicians

0:43:31.680 --> 0:43:34.960
<v Speaker 4>that are realizing they can use this as a as

0:43:35.000 --> 0:43:36.640
<v Speaker 4>a different way of looking at the problems.

0:43:36.840 --> 0:43:38.680
<v Speaker 3>Yeah. And when I asked you one question, know is

0:43:39.400 --> 0:43:42.680
<v Speaker 3>we're describing a a It's more than a new technology.

0:43:42.680 --> 0:43:45.840
<v Speaker 3>We're talking about a new paradigm. It's a way of

0:43:45.880 --> 0:43:49.480
<v Speaker 3>thinking about problems. Can you compare this to kind of

0:43:49.680 --> 0:43:54.919
<v Speaker 3>previous technological paradigms. I'm thinking at the last couple hundred years,

0:43:54.920 --> 0:43:58.520
<v Speaker 3>what does this rank in terms of a new field

0:43:58.600 --> 0:43:59.480
<v Speaker 3>that we've opened up.

0:44:00.120 --> 0:44:02.160
<v Speaker 4>It's a hard question to answer, but I often say

0:44:02.360 --> 0:44:05.600
<v Speaker 4>the history of computing, this will be the first time

0:44:06.200 --> 0:44:10.880
<v Speaker 4>that computation is branched between classical and quantum. I like

0:44:11.239 --> 0:44:14.759
<v Speaker 4>thinking reading a lot in the past. One of the

0:44:14.800 --> 0:44:18.279
<v Speaker 4>things that I think was a way we changed as

0:44:18.280 --> 0:44:22.560
<v Speaker 4>a society was the invention of zero. Before zero, math

0:44:22.800 --> 0:44:27.360
<v Speaker 4>was limited. Realizing that numbers have a number a zero

0:44:27.880 --> 0:44:30.720
<v Speaker 4>allowed us to develop a whole set of new mathematics

0:44:31.120 --> 0:44:35.320
<v Speaker 4>that then went on and defined like everything from waves

0:44:35.360 --> 0:44:39.120
<v Speaker 4>to calculus to all of that. Yes, we can describe

0:44:39.200 --> 0:44:41.560
<v Speaker 4>it with that same math, but when we describe it

0:44:41.600 --> 0:44:44.839
<v Speaker 4>with that math, it gets exponentially big and gets impractical

0:44:44.920 --> 0:44:47.960
<v Speaker 4>to do. Now we can actually work on it, I

0:44:47.960 --> 0:44:50.520
<v Speaker 4>would say, if I had to give you a quick answer,

0:44:50.640 --> 0:44:55.080
<v Speaker 4>maybe going all the way back to when we were accepted.

0:44:54.719 --> 0:44:56.880
<v Speaker 3>Zero, I thought you were going to say, like the airplane,

0:44:57.000 --> 0:44:59.840
<v Speaker 3>but in fact, yeah, you went several orders of magnitude

0:45:00.080 --> 0:45:00.359
<v Speaker 3>on that.

0:45:00.560 --> 0:45:03.799
<v Speaker 4>Yes, but but I think it's sort of fundamental.

0:45:04.120 --> 0:45:07.560
<v Speaker 3>This is absolutely fascinating. Thank you so much for chatting

0:45:07.560 --> 0:45:08.080
<v Speaker 3>with me about it.

0:45:08.160 --> 0:45:08.799
<v Speaker 4>Thank you for your time.

0:45:11.280 --> 0:45:14.440
<v Speaker 3>Hey, listeners. So normally we end this episode here, but

0:45:14.480 --> 0:45:17.800
<v Speaker 3>the Tech Week attendees asked Jay some really great questions,

0:45:18.239 --> 0:45:21.000
<v Speaker 3>questions I wish I'd asked, so we wanted to include

0:45:21.040 --> 0:45:22.680
<v Speaker 3>those here. Enjoy.

0:45:24.480 --> 0:45:26.759
<v Speaker 5>Hi, J, thank you so much for the great presentation.

0:45:27.239 --> 0:45:30.840
<v Speaker 5>My name is Trixie Apiado. I work for Willis Towers Watson,

0:45:30.880 --> 0:45:34.839
<v Speaker 5>an insurance broker. I help seisos identify and quantify their

0:45:34.880 --> 0:45:38.880
<v Speaker 5>cyber risk so they can prepare for threats before they happen,

0:45:39.280 --> 0:45:42.000
<v Speaker 5>and so quantum threats keep me up at night. You

0:45:42.120 --> 0:45:46.120
<v Speaker 5>mentioned so many good problems that quantum can solve. It

0:45:46.160 --> 0:45:50.839
<v Speaker 5>can also break encryptions in our classical computer systems. So

0:45:51.960 --> 0:45:56.080
<v Speaker 5>what safeguards or policies do you implement in your teams

0:45:56.440 --> 0:46:00.920
<v Speaker 5>to build quantum capabilities responsibly? And what can we do

0:46:01.680 --> 0:46:05.040
<v Speaker 5>for people in this room as builders and users to

0:46:05.160 --> 0:46:09.560
<v Speaker 5>secure our data in systems before quantum computers become more

0:46:09.680 --> 0:46:11.960
<v Speaker 5>energy efficient, cheaper, and more available.

0:46:12.840 --> 0:46:16.120
<v Speaker 4>So it's a great question. So yes, one of the

0:46:16.160 --> 0:46:20.520
<v Speaker 4>algorithms for quantum computing is to break our traditional encryption.

0:46:21.239 --> 0:46:25.080
<v Speaker 4>So at IBM Research, we were aware of this from

0:46:25.160 --> 0:46:29.640
<v Speaker 4>day one. We've come up with algorithms that we believe

0:46:29.840 --> 0:46:32.759
<v Speaker 4>and have very strong evidence will not be broken by

0:46:32.760 --> 0:46:36.120
<v Speaker 4>a quantum or classical computer, and this has selected them.

0:46:36.600 --> 0:46:42.000
<v Speaker 4>So first the scientific technical question, security is saved. There

0:46:42.000 --> 0:46:46.879
<v Speaker 4>are algorithms that exist that we can implement that neither

0:46:47.040 --> 0:46:50.880
<v Speaker 4>a quantum or classical computer can break. So the technical

0:46:50.920 --> 0:46:55.319
<v Speaker 4>answer is we're all okay. The more complicated answer is

0:46:55.360 --> 0:46:59.920
<v Speaker 4>a social and society answer. Encryption was built in classical

0:47:00.040 --> 0:47:03.520
<v Speaker 4>computing in a way that was never thought of being upgraded.

0:47:04.320 --> 0:47:08.400
<v Speaker 4>It's mixed everywhere. Some of it is downstream, some of

0:47:08.440 --> 0:47:11.040
<v Speaker 4>it is like software that you may use. Some of

0:47:11.080 --> 0:47:15.319
<v Speaker 4>it is software that you've developed. And I get that

0:47:15.440 --> 0:47:17.279
<v Speaker 4>if you've got a product and you want to have

0:47:17.400 --> 0:47:20.359
<v Speaker 4>it secure for the next ten years, you probably want

0:47:20.360 --> 0:47:22.839
<v Speaker 4>to think about how you're going to upgrade it, or

0:47:23.000 --> 0:47:26.200
<v Speaker 4>if you have data that needs to be secure for

0:47:26.400 --> 0:47:29.680
<v Speaker 4>the next ten years, it needs to upgrade to new encryption.

0:47:30.320 --> 0:47:33.360
<v Speaker 4>So the real challenge is more of a social business

0:47:33.400 --> 0:47:37.880
<v Speaker 4>problem of how do we actually transition from old encryption

0:47:38.000 --> 0:47:41.120
<v Speaker 4>to new encryption knowing this is going to happen. So

0:47:41.239 --> 0:47:43.759
<v Speaker 4>we at IBM have been very proactive on this. We've

0:47:43.800 --> 0:47:47.160
<v Speaker 4>developed tools where we can determine where encryption is used,

0:47:47.600 --> 0:47:51.600
<v Speaker 4>We've developed tools which can show you how to replace it,

0:47:51.760 --> 0:47:55.960
<v Speaker 4>and we early on have made sure the Mainframe when

0:47:56.040 --> 0:47:58.560
<v Speaker 4>we made these algorithms. So I think it was Z

0:47:58.760 --> 0:48:01.600
<v Speaker 4>sixteen that was the first version of the Mainframe to

0:48:01.800 --> 0:48:06.799
<v Speaker 4>have these quantum safe algorithms implemented. So my answer to

0:48:06.840 --> 0:48:10.520
<v Speaker 4>your question is, yes, there's a real problem, but it's

0:48:10.520 --> 0:48:13.560
<v Speaker 4>not a technical problem. It's a social and business problem.

0:48:13.560 --> 0:48:17.040
<v Speaker 4>And I'm not minimizing that. I understand that that is

0:48:17.080 --> 0:48:20.040
<v Speaker 4>a lot of work you need to start now. You

0:48:20.120 --> 0:48:22.200
<v Speaker 4>need to come up and do a you need to

0:48:22.239 --> 0:48:25.279
<v Speaker 4>make it part of your IT transformation. You need to

0:48:25.680 --> 0:48:30.239
<v Speaker 4>get onto it. And I realize I realize it's not

0:48:30.280 --> 0:48:32.960
<v Speaker 4>going to take zero time because it's not an easy

0:48:33.000 --> 0:48:36.279
<v Speaker 4>problem to do. So the short answer is one we

0:48:36.400 --> 0:48:39.440
<v Speaker 4>developed algorithms that we can't and we're developing tools to

0:48:39.480 --> 0:48:40.640
<v Speaker 4>help you in that transformation.

0:48:41.120 --> 0:48:44.560
<v Speaker 6>Thank you so much, Thank you. My name is Emma.

0:48:44.680 --> 0:48:48.279
<v Speaker 6>I'm a product manager at Expedia working on software side

0:48:48.280 --> 0:48:51.480
<v Speaker 6>of things. My question is around the non technical roles

0:48:51.560 --> 0:48:55.319
<v Speaker 6>outside of the researchers, the mathematicians, the builders. How can

0:48:55.440 --> 0:48:58.680
<v Speaker 6>the rest of us, whether it be policymakers, those in

0:48:58.719 --> 0:49:02.080
<v Speaker 6>the legal fields, those thinking about what use cases quantum

0:49:02.160 --> 0:49:04.440
<v Speaker 6>can solve for in the future, what should we be

0:49:04.520 --> 0:49:06.879
<v Speaker 6>thinking about and how can we prepare for that.

0:49:07.200 --> 0:49:09.319
<v Speaker 4>It's a good question. I think this is part of

0:49:09.400 --> 0:49:13.279
<v Speaker 4>the requirement of the scientists to being able to articulate

0:49:13.960 --> 0:49:16.560
<v Speaker 4>where they are. We need a forum for those type

0:49:16.560 --> 0:49:19.640
<v Speaker 4>of discussions. I think a lot of this can fit

0:49:19.760 --> 0:49:23.040
<v Speaker 4>within the forums that we already have for classical and AI,

0:49:23.640 --> 0:49:25.640
<v Speaker 4>and I think we need to just be asking how

0:49:25.680 --> 0:49:28.680
<v Speaker 4>do we actually bring them into them. Because I don't

0:49:28.960 --> 0:49:32.160
<v Speaker 4>think of quantum as a replacement of compute. I think

0:49:32.160 --> 0:49:35.160
<v Speaker 4>of it as an accelerator that expands what is possible,

0:49:35.840 --> 0:49:38.600
<v Speaker 4>and I think we can ask those questions in those forums,

0:49:39.000 --> 0:49:41.480
<v Speaker 4>are we doing enough now? I think I agree with you. No,

0:49:41.760 --> 0:49:43.040
<v Speaker 4>I don't know the answer to it.

0:49:43.920 --> 0:49:47.200
<v Speaker 6>I think it's a really interesting perspective because those existing

0:49:47.239 --> 0:49:50.680
<v Speaker 6>forums do start to bring in those other fields as well,

0:49:50.960 --> 0:49:53.840
<v Speaker 6>so it could warrant the same sort of discussion and.

0:49:54.160 --> 0:49:59.880
<v Speaker 4>Active And I understand those forums right now AI is

0:50:00.080 --> 0:50:03.360
<v Speaker 4>probably dominating, and it should be like we are going

0:50:03.400 --> 0:50:07.440
<v Speaker 4>through a period of time where AI is impacting society.

0:50:08.000 --> 0:50:11.160
<v Speaker 4>The technology is impacting society in big ways. So I

0:50:11.239 --> 0:50:14.840
<v Speaker 4>totally understand that most of their focus should be on AI,

0:50:15.040 --> 0:50:17.680
<v Speaker 4>but we should start to ask where is quantum in

0:50:18.120 --> 0:50:18.719
<v Speaker 4>that as well?

0:50:19.840 --> 0:50:23.640
<v Speaker 7>Hi, I'm Gobi and I'm a graduating PhD student at

0:50:23.680 --> 0:50:27.640
<v Speaker 7>Northwestern and also a member of south Park Commons, which

0:50:27.680 --> 0:50:31.240
<v Speaker 7>is a fund here. You mentioned earlier that some problems

0:50:31.239 --> 0:50:34.239
<v Speaker 7>are best solved by classical versus some problems are best

0:50:34.280 --> 0:50:36.799
<v Speaker 7>solved by quantum. When we're thinking about this, if we're

0:50:36.840 --> 0:50:39.239
<v Speaker 7>not experts in quantum, but we're thinking about this from

0:50:39.239 --> 0:50:41.759
<v Speaker 7>an AI perspective, could you just clarify when we think

0:50:41.760 --> 0:50:46.120
<v Speaker 7>about quantum, what is deterministic and what is not deterministic.

0:50:46.640 --> 0:50:49.120
<v Speaker 4>I think the future of computing we've got to get

0:50:49.160 --> 0:50:52.520
<v Speaker 4>our heads around is that not everything is deterministic, and

0:50:52.560 --> 0:50:55.080
<v Speaker 4>it's much more going to be probilistic. How do you

0:50:55.239 --> 0:50:58.440
<v Speaker 4>handle error bars? How do you put confidence? I think

0:50:58.520 --> 0:51:01.440
<v Speaker 4>a lot of those questions which you're referring to in

0:51:01.480 --> 0:51:05.200
<v Speaker 4>AI are going to completely apply in quantum. I actually

0:51:05.200 --> 0:51:10.799
<v Speaker 4>think it's a mistake to compare AI verse quantum. I

0:51:10.880 --> 0:51:15.480
<v Speaker 4>actually think of quantum as much its quantum verse classical compute,

0:51:15.520 --> 0:51:18.640
<v Speaker 4>and AI is going to come across on top. So

0:51:18.840 --> 0:51:21.560
<v Speaker 4>as we go forward and we get a better understanding,

0:51:21.719 --> 0:51:25.200
<v Speaker 4>I'm not going to say quantum is going to replace

0:51:25.239 --> 0:51:28.239
<v Speaker 4>the classical compute that enables AI, but I think some

0:51:28.320 --> 0:51:30.520
<v Speaker 4>of the math you do in AI will be able

0:51:30.560 --> 0:51:33.319
<v Speaker 4>to go to both. So what can we formally prove?

0:51:34.120 --> 0:51:37.000
<v Speaker 4>I can come up with a problem where I take

0:51:37.040 --> 0:51:39.480
<v Speaker 4>a circle and I color half of it red and

0:51:39.520 --> 0:51:42.359
<v Speaker 4>half of it of blue, and then I say I'm going

0:51:42.440 --> 0:51:46.399
<v Speaker 4>to apply an operation that takes those dots make it. Say,

0:51:46.480 --> 0:51:48.839
<v Speaker 4>let's say ten dots over here red, ten dots over

0:51:48.880 --> 0:51:51.520
<v Speaker 4>here blue, and I'm going to wind them around many

0:51:51.600 --> 0:51:54.719
<v Speaker 4>many times. I can then show you that if you

0:51:54.800 --> 0:51:57.720
<v Speaker 4>feed that into a classical computer, it's a classical random

0:51:57.800 --> 0:52:01.399
<v Speaker 4>number generator. You can give your as much data as

0:52:01.440 --> 0:52:03.960
<v Speaker 4>you want, you will never be able to say did

0:52:04.000 --> 0:52:06.919
<v Speaker 4>the red come from the left side or the right side.

0:52:06.960 --> 0:52:10.080
<v Speaker 4>You would take infinite data like it is like you

0:52:10.120 --> 0:52:13.440
<v Speaker 4>would have to break a classical random number generator. I

0:52:13.480 --> 0:52:16.960
<v Speaker 4>can show you a quantum algorithm that can do that deterministically.

0:52:18.040 --> 0:52:20.920
<v Speaker 4>So where we're thinking is when the data appears to

0:52:21.000 --> 0:52:26.120
<v Speaker 4>be completely unstructured or you looks essentially like a complete

0:52:26.200 --> 0:52:30.520
<v Speaker 4>random number to the classical methods, there are quantum methods

0:52:30.560 --> 0:52:33.240
<v Speaker 4>that can actually potentially find that structure.

0:52:37.760 --> 0:52:40.200
<v Speaker 3>That's it for this episode of Smart Talks with IBM.

0:52:40.680 --> 0:52:42.880
<v Speaker 3>If you haven't already, be sure to check out my

0:52:42.960 --> 0:52:48.360
<v Speaker 3>conversation with IBM Chairman and CEO Arvind Krishna, and stay tuned.

0:52:48.760 --> 0:52:53.759
<v Speaker 3>Another episode is coming soon. Smart Talks with IBM is

0:52:53.800 --> 0:52:57.920
<v Speaker 3>produced by Matt Romano, Amy Gains, McQuaid, Trina Menino, and

0:52:58.040 --> 0:53:02.720
<v Speaker 3>Jake Harper. Engineering by Bird Lawrence, Mastering by Sarah Buger,

0:53:03.080 --> 0:53:08.200
<v Speaker 3>music by Gramoscope, Strategy by Tatiana Lieberman, Cassidy Meyer and

0:53:08.320 --> 0:53:12.480
<v Speaker 3>Sofia Derlon. Smart Talks with IBM is a production of

0:53:12.560 --> 0:53:17.799
<v Speaker 3>Pushkin Industries and Ruby Studio at iHeartMedia to find more

0:53:17.800 --> 0:53:22.560
<v Speaker 3>Pushkin podcasts. Listen on the iHeartRadio app, Apple Podcasts, or

0:53:22.600 --> 0:53:27.080
<v Speaker 3>wherever you listen to podcasts. I'm Malcolm Godwell. This is

0:53:27.120 --> 0:53:31.600
<v Speaker 3>a paid advertisement from IBM. The conversations on this podcast

0:53:31.880 --> 0:53:42.120
<v Speaker 3>don't necessarily represent IBM's positions, strategies, or opinions.